Literature DB >> 35582812

The role of time-varying viral shedding in modelling environmental surveillance for public health: revisiting the 2013 poliovirus outbreak in Israel.

Andrew F Brouwer1, Marisa C Eisenberg1, Lester M Shulman2,3, Michael Famulare4, James S Koopman1, Steve J Kroiss4, Musa Hindiyeh2, Yossi Manor2, Itamar Grotto5,6, Joseph N S Eisenberg1.   

Abstract

Environmental pathogen surveillance is a sensitive tool that can detect early-stage outbreaks, and it is being used to track poliovirus and other pathogens. However, interpretation of longitudinal environmental surveillance signals is difficult because the relationship between infection incidence and viral load in wastewater depends on time-varying shedding intensity. We developed a mathematical model of time-varying poliovirus shedding intensity consistent with expert opinion across a range of immunization states. Incorporating this shedding model into an infectious disease transmission model, we analysed quantitative, polymerase chain reaction data from seven sites during the 2013 Israeli poliovirus outbreak. Compared to a constant shedding model, our time-varying shedding model estimated a slower peak (four weeks later), with more of the population reached by a vaccination campaign before infection and a lower cumulative incidence. We also estimated the population shed virus for an average of 29 days (95% CI 28-31), longer than expert opinion had suggested for a population that was purported to have received three or more inactivated polio vaccine (IPV) doses. One explanation is that IPV may not substantially affect shedding duration. Using realistic models of time-varying shedding coupled with longitudinal environmental surveillance may improve our understanding of outbreak dynamics of poliovirus, SARS-CoV-2, or other pathogens.

Entities:  

Keywords:  environmental surveillance; infectious disease model; poliovirus; viral shedding; wastewater surveillance

Mesh:

Substances:

Year:  2022        PMID: 35582812      PMCID: PMC9114981          DOI: 10.1098/rsif.2022.0006

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.293


  55 in total

1.  Mathematics of quantitative kinetic PCR and the application of standard curves.

Authors:  R G Rutledge; C Côté
Journal:  Nucleic Acids Res       Date:  2003-08-15       Impact factor: 16.971

2.  Inactivated poliovirus vaccine given alone or in a sequential schedule with bivalent oral poliovirus vaccine in Chilean infants: a randomised, controlled, open-label, phase 4, non-inferiority study.

Authors:  Miguel O'Ryan; Ananda S Bandyopadhyay; Rodolfo Villena; Mónica Espinoza; José Novoa; William C Weldon; M Steven Oberste; Steve Self; Bhavesh R Borate; Edwin J Asturias; Ralf Clemens; Walter Orenstein; José Jimeno; Ricardo Rüttimann; Sue Ann Costa Clemens
Journal:  Lancet Infect Dis       Date:  2015-08-26       Impact factor: 25.071

3.  Field study of fecal excretion as a decision support tool in response to silent reintroduction of wild-type poliovirus 1 into Israel.

Authors:  Jacob Moran-Gilad; Ella Mendelson; Cara C Burns; Ravit Bassal; Michael Gdalevich; Danit Sofer; M Steven Oberste; Lester M Shulman; Ehud Kaliner; Musa Hindiyeh; Musa Hindiye; Orna Mor; Liora Shahar; Jane Iber; Ruth Yishay; Joseph Manor; Boaz Lev; Ronni Gamzu; Itamar Grotto
Journal:  J Clin Virol       Date:  2015-03-10       Impact factor: 3.168

4.  Randomised, controlled trial with the trypsin-modified inactivated poliovirus vaccine: assessment of intestinal immunity with live challenge virus.

Authors:  L Piirainen; M Stenvik; M Roivainen; J Eskola; E C Beuvery; T Hovi
Journal:  Vaccine       Date:  1999-03-05       Impact factor: 3.641

5.  Bioaerosol Sampling in Modern Agriculture: A Novel Approach for Emerging Pathogen Surveillance?

Authors:  Benjamin D Anderson; Mengmeng Ma; Yao Xia; Tao Wang; Bo Shu; John A Lednicky; Mai-Juan Ma; Jiahai Lu; Gregory C Gray
Journal:  J Infect Dis       Date:  2016-05-06       Impact factor: 5.226

6.  Developing a Flexible National Wastewater Surveillance System for COVID-19 and Beyond.

Authors:  Aparna Keshaviah; Xindi C Hu; Marisa Henry
Journal:  Environ Health Perspect       Date:  2021-04-20       Impact factor: 9.031

Review 7.  New tools for the study and direct surveillance of viral pathogens in water.

Authors:  Albert Bosch; Susana Guix; Daisuke Sano; Rosa M Pintó
Journal:  Curr Opin Biotechnol       Date:  2008-05-26       Impact factor: 9.740

8.  Estimating epidemiologic dynamics from cross-sectional viral load distributions.

Authors:  James A Hay; Lee Kennedy-Shaffer; Sanjat Kanjilal; Niall J Lennon; Stacey B Gabriel; Marc Lipsitch; Michael J Mina
Journal:  Science       Date:  2021-06-03       Impact factor: 47.728

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  2 in total

1.  The role of time-varying viral shedding in modelling environmental surveillance for public health: revisiting the 2013 poliovirus outbreak in Israel.

Authors:  Andrew F Brouwer; Marisa C Eisenberg; Lester M Shulman; Michael Famulare; James S Koopman; Steve J Kroiss; Musa Hindiyeh; Yossi Manor; Itamar Grotto; Joseph N S Eisenberg
Journal:  J R Soc Interface       Date:  2022-05-18       Impact factor: 4.293

2.  A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data.

Authors:  Tin Phan; Samantha Brozak; Bruce Pell; Anna Gitter; Kristina D Mena; Yang Kuang; Fuqing Wu
Journal:  medRxiv       Date:  2022-07-18
  2 in total

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